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An Ant-Based Algorithm for Clustering
Conference proceeding

An Ant-Based Algorithm for Clustering

Akil Elkamel, Mariem Gzara, Salma Jamoussi, Hanene Ben-Abdallah and IEEE
2009 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2, pp.76-82
01/01/2009
DOI: https://doi.org/10.1109/AICCSA.2009.5069307

Abstract

Computer Science Computer Science, Information Systems Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Science & Technology Technology
In this paper, we propose a new ant based clustering algorithm. The algorithm takes inspiration from the sound communication properties of real ants. Artificial ants communicate directly with each others in order to merge similar group of objects. The proposed algorithm was tested and evaluated. e obtained results are very encouraging in comparison with the famous k-means and some ant based clustering algorithms.

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